Clinical outcomes following conservative management of chronic traumatic cervical myelopathy: A case report
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: There is limited evidence supporting the conservative management of patients with cervical myelopathy. The purpose of this report is to describe the intervention and outcomes of conservative physical therapy interventions for one patient with chronic cervical myelopathy. CASE DESCRIPTION: This case was a 50-year-old male who sustained a neck injury following a rear-end collision 4 years prior to this therapeutic episode. The patient presented with decreased range of motion in the cervical spine and right upper extremity, strength deficits, altered sensation, poor posture, and reported chronic cervical region pain and difficulty sleeping. INTERVENTION: The patient completed 10 weeks of conservative physical therapy. The patient completed the Neck Disability Index (NDI), Medical Outcome Survey Sleep Scale (MSS), short-form McGill Pain Questionnaire (SFMPQ), Patient-Specific Functional Scale (PSFS), and baseline clinical measurements of flexibility and strength were obtained. OUTCOMES: After the 10-week episode of care, the following changes were noted from baseline: 18% improvement on the NDI, 26% improvement on the MSS, 25% decrease in pain on the SFMPQ, and a 39% improvement on the total score of the PSFS. Cervical range of motion measurements increased between 25% and 100%. Grip strength demonstrated a 465% increase on the right upper extremity and a 25% increase on the left upper extremity. DISCUSSION: This case report suggests that conservative management of chronic traumatic cervical myelopathy was effective in helping to improve pain, sleep, and function in this patient with a traumatic mechanism of injury.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".